44 citations · 71 across the 7 of their papers we have counts for
6 papers · 1 filter
Recent Advances in Denoising of Manifold-Valued Images
Ronny Bergmann, Friederike Laus, Johannes Persch +1
Modern signal and image acquisition systems are able to capture data that is no longer real-valued, but may take values on a manifold. However, whenever measurements are taken, no…
Multivariate Myriad Filters based on Parameter Estimation of Student- Distributions
Friederike Laus, Gabriele Steidl
The contribution of this study is twofold: First, we propose an efficient algorithm for the computation of the (weighted) maximum likelihood estimators for the parameters of the mu…
Nonlocal Myriad Filters for Cauchy Noise Removal
Friederike Laus, Fabien Pierre, Gabriele Steidl
The contribution of this paper is two-fold. First, we introduce a generalized myriad filter, which is a method to compute the joint maximum likelihood estimator of the location and…
Transport between RGB Images Motivated by Dynamic Optimal Transport
Jan Henrik Fitschen, Friederike Laus, Gabriele Steidl
We propose two models for the interpolation between RGB images based on the dynamic optimal transport model of Benamou and Brenier [8]. While the application of dynamic optimal tra…
Dynamic Optimal Transport with Mixed Boundary Condition for Color Image Processing
Jan Henrik Fitschen, Friederike Laus, Gabriele Steidl
Recently, Papadakis et al. proposed an efficient primal-dual algorithm for solving the dynamic optimal transport problem with quadratic ground cost and measures having densities wi…
Second Order Differences of Cyclic Data and Applications in Variational Denoising
Ronny Bergmann, Gabriele Steidl, Friederike Laus +1
In many image and signal processing applications, as interferometric synthetic aperture radar (SAR), electroencephalogram (EEG) data analysis or color image restoration in HSV or L…